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VARIATION CHARACTERISTICS OF THE PLANETARY BOUNDARY LAYER HEIGHT AND ITS RELATIONSHIP WITH pm2.5 concentration OVER CHINA

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Journal of Tropical Meteorology 2018年第3期24卷 385-394页

作者： WANG Yin-jun XU Xiang-de ZHAO Yang WANG Min-zhong State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing 100081 China Nanjing University of Information Science & Technology Nanjing 210044 China Institute of Desert Meteorology China Meteorological Administration Urumqi 830002 China

The planetary boundary layer height(PBLH) was calculated using the radiosonde sounding data, including120 L-band operational sites and 8 GPS sites in China. The diurnal and seasonal variations of PBLH were analyzed using radiosonde sounding(OBS-PBLH) and ERA data(ERA-PBLH). Based on comparison and error analyses, we discussed the main error sources in these data. The frequency distributions of PBLH variations under different regimes(the convective boundary layer, the neutral residual layer, and the stable boundary layer) can be well fitted by a Gamma distribution and the shape parameter k and scale parameter s values were obtained for different regions of China. The variation characteristics of PBLH were found in summer under these three regimes for different regions. The relationships between PBLH and pm_(2.5) concentration generally follow a power law under very low or no precipitation conditions in the region of Beijing, Tianjin and Hebei in summer. The results usually deviated from this power distribution only under strong precipitation or high relative humidity conditions because of the effects of hygroscopic growth of aerosols or wet deposition. The OBS-PBLH provided a reasonable spatial distribution relative to *** indicates that OBS-PBLH has the potential for identifying the variation of pm_(2.5) concentration.

关键词： L-band and GPS sounding planetary boundary layer height pm2.5 concentration

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Analysis on Thermal Environment of Underlying Surface and pm2.5 concentration in Community Park of Beijing in Winter

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Journal of Landscape Research 2020年第6期12卷 41-46页

作者： PENG Li XU Zhenghou CHEN Heming North China University of Technology Beijing 100144China

Community park is one of the most important landscape spaces for urban people to live outdoors,and people’s perception of environmental microclimate is a direct factor affecting the use frequency and experience of community *** this paper,Shijingshan Sculpture Park of Beijing was taken as experimental *** the method of fi eld measurement,9-d winter test for 3 months was conducted in three kinds of landscape architecture spaces,including waterfront plaza,open green space and square under the *** regression analysis method,the measured air temperature(Ta),relative humidity of air(RH),particulate matter(pm2.5)were *** is found that winter sunshine is main infl uence factor of garden microclimate,and there is a negative correlation between local temperature and humidity;local temperature and humidity can regulate the local pm2.5 concentration,and temperature shows negative correlation with pm2.5 concentration,while humidity shows positive correlation with pm2.5 ***,via comparative analysis of temperature,humidity and pm2.5 concentration in different types of garden spaces,the infl uence of different space forms,planting forms and materials on thermal environment of underlying surface and pm2.5 concentration was summarized,and design strategy was optimized,to be as benefi cial reference of reconstruction design of community parks.

关键词： Garden microclimate Community park Thermal environment of underlying surface pm2.5 concentration Winter

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Multi-Scale Variation Prediction of pm2.5 concentration Based on a Monte Carlo Method

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Journal on Big Data 2019年第2期1卷 55-69页

作者： Chen Ding Guizhi Wang Qi Liu School of Mathematics and Statistics Nanjing University of Information Science and TechnologyNanjing210044China School of Computing Edinburgh Napier UniversityEdinburghUK

Haze concentration prediction,especially pm2.5,has always been a significant focus of air quality research,which is necessary to start a deep *** at predicting the monthly average concentration of pm2.5 in Beijing,a novel method based on Monte Carlo model is *** order to fully exploit the value of pm2.5 data,we take logarithmic processing of the original pm2.5 data and propose two different scales of the daily concentration and the daily chain development speed of pm2.5 *** results show that these data are both approximately normal *** the basis of the results,a Monte Carlo method can be applied to establish a probability model of normal distribution based on two different variables and random sampling numbers can also be generated by *** a large number of simulation experiments,the average monthly concentration of pm2.5 in Beijing and the general trend of pm2.5 can be *** comparing the errors between the real data and the predicted data,the Monte Carlo method is reliable in predicting the pm2.5 monthly mean concentration in the *** study also provides a feasible method that may be applied in other studies to predict other pollutants with large scale time series data.

关键词： Monte Carlo method random sampling pm2.5 concentration chain development speed trend prediction

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The Strong El Ni?o of 2015/16 and Its Dominant Impacts on Global and China's Climate

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Journal of Meteorological Research 2016年第3期30卷 283-297页

作者：翟盘茂余荣郭艳君李庆祥任雪娟王亚强徐文慧柳艳菊丁一汇 State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081 College of Atmospheric Science Nanjing University of Information Science & TechnologyNanjing 210044 National Climate Center Beijing 100081 National Meteorological Information Center Beijing 100081 School of Atmospheric Sciences Nanjing UniversityNanjing 210093

The oceanic and atmospheric conditions and the related climate impacts of the 2015/16 ENSO cycle were analyzed,based on the latest global climate observational data,especially that of *** results show that this strong El Nino event fully established in spring 2015 and has been rapidly developing into one of the three strongest El Nino episodes in recorded ***,it is also expected to be the longest event recorded,attributable to the stable maintenance of the abnormally warm conditions in the equatorial Pacific Ocean since spring *** to the impacts of this strong event,along with climate warming background,the global surface temperature and the surface air temperature over Chinese mainland reached record highs in *** weather in various places worldwide have occurred in association with this severe El Nino episode,and summer precipitation has reduced significantly in North China,especially over the bend of the Yellow River,central Inner Mongolia,and the coastal areas surrounding Bohai *** drought has occurred in some of the above *** El Nino episode reached its peak strength during November-December 2015,when a lower-troposphere anomalous anticyclonic circulation prevailed over the Philippines,bringing about abnormal southerlies and substantially increased precipitation in southeastern *** the same time,a negative phase of the Eurasia-Pacific teleconnection pattern dominated over the mid-high latitudes,which suppressed northerly winds in North *** two factors together resulted in high concentrations of fine particulate matter（pm2.5） and frequent haze weather in this ***,this strong El Nino is weakening very rapidly,but its impact on climate will continue in the coming months in some regions,especially in China.

关键词： strong E1 Nifio episode temperature disastrous weather and climate precipitation pm2.5 concentration

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